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将结构模型自动进行分子动力学柔性拟合到冷冻电镜和晶体学实验图谱中。

- automatic molecular dynamics flexible fitting of structural models into cryo-EM and crystallography experimental maps.

作者信息

Kidmose Rune Thomas, Juhl Jonathan, Nissen Poul, Boesen Thomas, Karlsen Jesper Lykkegaard, Pedersen Bjørn Panyella

机构信息

Centre for Structural Biology, Department of Molecular Biology and Genetics, Aarhus University, Gustav Wieds Vej 10C, Aarhus, DK-8000, Denmark.

出版信息

IUCrJ. 2019 Jun 27;6(Pt 4):526-531. doi: 10.1107/S2052252519007619. eCollection 2019 Jul 1.

Abstract

Model building into experimental maps is a key element of structural biology, but can be both time consuming and error prone for low-resolution maps. Here we present , an easy-to-use tool that enables the user to run a molecular dynamics flexible fitting simulation followed by real-space refinement in an automated manner through a pipeline system. will modify an atomic model to fit within cryo-EM or crystallography density maps, and can be used advantageously for both the initial fitting of models, and for a geometrical optimization step to correct outliers, clashes and other model problems. We have benchmarked against 39 deposited cryo-EM models and maps, and observe model improvements in 34 of these cases (87%). Clashes between atoms were reduced, and the model-to-map fit and overall model geometry were improved, in several cases substantially. We show that is able to model large-scale conformational changes compared to the starting model. is a fast and easy tool for structural model builders at all skill levels. is available as a web service (https://namdinator.au.dk), or it can be run locally as a command-line tool.

摘要

将模型构建到实验图谱中是结构生物学的关键要素,但对于低分辨率图谱而言,这一过程既耗时又容易出错。在此,我们展示了一种易于使用的工具,它能让用户通过管道系统自动运行分子动力学柔性拟合模拟,随后进行实空间精修。该工具会修改原子模型以使其适配冷冻电镜或晶体学密度图谱,并且既能有效地用于模型的初始拟合,也能用于几何优化步骤,以校正异常值、冲突及其他模型问题。我们已将该工具与39个已存入的冷冻电镜模型和图谱进行了基准测试,在其中34个案例(87%)中观察到了模型改进。原子间的冲突减少了,模型与图谱的拟合度以及整体模型几何结构在多个案例中都有显著改善。我们表明,与起始模型相比,该工具能够模拟大规模构象变化。对于所有技能水平的结构模型构建者来说,它都是一个快速且易用的工具。该工具可作为网络服务获取(https://namdinator.au.dk),也可以作为命令行工具在本地运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b3a/6608625/beba52cc9226/m-06-00526-fig1.jpg

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